BBC Radio 4 – Word of Mouth, Chatbots 1

Like lots of other folk I’ve been reading plenty about Large Language Models, AI & Chatbots and playing with some of the toys.

I really liked Professor Bender’s approach and method. I also found this a very easy listen. My mind has tended to wander off when reading blogs post about AI. Very clear on the “not intelligent” and the risks associated with chatbots trained on large piles of language.

And specifically the things that they’re predicting is what would be a plausible next word given all the preceding words here and then again and then again and again.

And so that’s linguistically interesting that once you get to billions of words of text, there’s enough information in there just in the distribution of words to stick with things that are both grammatical and seemingly coherent.

So that’s a cool observation and it’s dangerous because we tend to react to grammatical, fluent, coherent, seeming text as authoritative and reliable and valuable.

So instead of talking about automatic speech recognition, I prefer to talk about automatic transcription because that describes what we’re using it for and doesn’t attribute any cognition to the system that is doing the task for us.2

 

  1. I subscribe to the RSS feed of this BBC radio program as a podcast, pity you can’t find the feed on the webpage.
  2. Ironically I used Aiko to get the text of the podcast for the quotes: “transcription is powered by OpenAI’s Whisper model running locally on your device”

Ian McMillan celebrates spectral spaces, the pulse of the body, and the power of repetition, in a Verb which showcases emerging talent – new sound designers from the Sound First scheme ….

Ian is joined by the songwriter, producer and sound designer Benbrick, the poet, playwright and performer Hannah Silva, and Sound First participant Noah Lawson, to explore what sound design can bring to poems, and what sounds are buried in poems themselves.

Really enjoyed listening to this, perhaps I am a wee bit more tuned into sound after Sunday.

Robin at dawn. Dither image. It was poor anyhow due to light.

The above is a short selection of a few moments of the stream I broadcast this morning, 10 minutes in total. The segments are each separated by 1 seconds of generated silence. The Whole thing is on the Stream Page.  There is a fox barking near the start and a pigeon claps its wings over head near the end.

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Screenshots of HikeTracker, map on the left, stats on the right

I’ve been looking for a replacement for Trails .

There are quite a lot of GPX apps out there so it has been interesting looking at them.
Many ‘hiking’ apps are concerned with giving you routes or posting routes you take their own or other services. These apps tend to be quite fully featured and often need an account on an online service. Trying a few out gave me a chance to think of what I wanted.

  1. Easy recording of a trail
  2. Trail shown live on a map, preferably OpenStreeMap.
  3. Quick and simple transfer of gpx track to my mac so that I can use it to tag photos, etc.
  4. Not completely killing the battery of my aging iPhone over a day.

Other features are either a bonus (some stats) or a complication (online services).

I’ve settled, for now at least, on HikeTracker . The app has been designed by a hiker, with the main aim of accuracy & simplicity. It fulfils all of my requirements.

The app is set up to work well “out of the box” for a hiker or walker – just tap “Start” and go!

It has worked well for me in a couple of tests, geotagging some rather blurry photos and giving me a track to add to the map.

I was happy to pay for trails and would be happy to pay for this free app too.

Featured image: Screenshots of HikeTracker, map on the left, stats on the right.